<th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
<progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
<th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
<progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
<th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
<progress id="5nh9l"><noframes id="5nh9l">
Volume 34 Issue 5
Jul.  2021
Turn off MathJax
Article Contents
WU Sen, PU Li, CHENG Kai, GAO Xue-dong. Rough set model of incomplete information systems based on the weighted threshold tolerance relation[J]. Chinese Journal of Engineering, 2012, 34(5): 596-601. doi: 10.13374/j.issn1001-053x.2012.05.020
Citation: WU Sen, PU Li, CHENG Kai, GAO Xue-dong. Rough set model of incomplete information systems based on the weighted threshold tolerance relation[J]. Chinese Journal of Engineering, 2012, 34(5): 596-601. doi: 10.13374/j.issn1001-053x.2012.05.020

Rough set model of incomplete information systems based on the weighted threshold tolerance relation

doi: 10.13374/j.issn1001-053x.2012.05.020
  • Received Date: 2011-06-05
    Available Online: 2021-07-30
  • In order to overcome the shortage that attribute weights are not taken into consideration in the existing extensions of rough sets under incomplete information systems,a new rough set model is proposed based on the weighted threshold tolerance relation.The new model calculates the weights according to the information quantity of the incomplete information system without outside knowledge,so the weights are objective.Moreover,the model introduces a threshold to adjust the strictness degree of the weighted threshold tolerance class,which not only combines subjective requirements into consideration,but also excludes objects in advance that do not reach the threshold and can not be in the same weighted threshold tolerance class with other objects.This exclusion will not influence the completeness of the classes.Contrastive analysis of an example shows that the proposed extension of a rough set based on the weighted threshold tolerance relation accords with the fact of an incomplete information system and is more applicable compared with other models.

     

  • loading
  • 加載中

Catalog

    通訊作者: 陳斌, bchen63@163.com
    • 1. 

      沈陽化工大學材料科學與工程學院 沈陽 110142

    1. 本站搜索
    2. 百度學術搜索
    3. 萬方數據庫搜索
    4. CNKI搜索
    Article views (171) PDF downloads(5) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    <th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
    <progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
    <th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
    <progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
    <span id="5nh9l"><noframes id="5nh9l">
    <span id="5nh9l"><noframes id="5nh9l">
    <span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
    <th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
    <progress id="5nh9l"><noframes id="5nh9l">
    259luxu-164